Carnegie Mellon University

How this program compares

Carnegie Mellon University's MS in Computer Science – Artificial Intelligence lists about $163.4K total tuition — about 281% above the $42.9K AI master's average (98th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming, statistics, and undergraduate-level computer science coursework.

About This Program

This program provides rigorous training in the design, engineering, and deployment of practical artificial intelligence applications for industry. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). Most students complete it in about 2 years.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in higher than about 86% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $150,000.

Design and implement machine learning models for complex problems.

Estimated total tuition is $163.4K, above the $42.9K average for AI master's programs in our database and in the 98th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Graduates of Carnegie Mellon University's MS in Computer Science – Artificial Intelligence most often target AI Engineer roles, where reported compensation runs around $150,000. Its focus on Machine Learning and Natural Language Processing (NLP) maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. AI Systems Architect
• 4. Data Scientist (AI focus)

What You'll Learn

• Design and implement machine learning models for complex problems
• Develop AI systems using deep learning and neural networks
• Apply natural language processing and computer vision techniques
• Deploy scalable AI solutions for practical applications

Curriculum Highlights

The curriculum includes core AI classes, knowledge area requirements, electives, a summer internship, and an innovation-focused capstone project.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

Admission to Carnegie Mellon University's MS in Computer Science – Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions